During development and metastasis, cells migrate large distances through complex environments. Migration is often guided by chemotaxis, but simple chemoattractant gradients between a source and sink cannot direct cells over such ranges. We describe how self-generated gradients, created by cells locally degrading attractant, allow single cells to navigate long, tortuous paths and make accurate choices between live channels and dead ends. This allows cells to solve complex mazes efficiently. Cells' accuracy at finding live channels was determined by attractant diffusivity, cell speed, and path complexity. Manipulating these parameters directed cells in mathematically predictable ways; specific combinations can even actively misdirect them. We propose that the length and complexity of many long-range migratory processes, including inflammation and germ cell migration, means that self-generated gradients are needed for successful navigation.
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http://dx.doi.org/10.1126/science.aay9792 | DOI Listing |
Acta Physiol (Oxf)
February 2025
Laboratory of Molecular Medical Biochemistry, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
Direct cardiac reprogramming or transdifferentiation is a relatively new and promising area in regenerative therapy, cardiovascular disease modeling, and drug discovery. Effective reprogramming of fibroblasts is limited by their plasticity, that is, their ability to reprogram, and depends on solving several levels of tasks: inducing cardiomyocyte-like cells and obtaining functionally and metabolically mature cardiomyocytes. Currently, in addition to the use of more classical approaches such as overexpression of exogenous transcription factors, activation of endogenous cardiac transcription factors via controlled nucleases, such as CRISPR, represents another interesting way to obtain cardiomyocytes.
View Article and Find Full Text PDFJ Prev Alzheimers Dis
January 2025
Indian Scientific Education and Technology Foundation, Lucknow, 226002, India. Electronic address:
Alzheimer's disease is a complicated, multifaceted, neurodegenerative illness that places an increasing strain on healthcare systems. Due to increasing malfunction and death of nerve cells, the person suffering from Alzheimer's disease (AD) slowly and steadily loses their memories, cognitive functions and even their personality. Although medications may temporarily enhance memory, there are currently no permanent therapies that can halt or cure this irreversible neurodegenerative process.
View Article and Find Full Text PDFAdv Mater
January 2025
Institut National de la Recherche Scientifique (INRS), Centre Énergie Matériaux Télécommunications, Varennes, Québec, J3×1P7, Canada.
Anion exchange membrane fuel cells (AEMFCs) are among the most promising sustainable electrochemical technologies to help solve energy challenges. Compared to proton exchange membrane fuel cells (PEMFCs), AEMFCs offer a broader choice of catalyst materials and a less corrosive operating environment for the bipolar plates and the membrane. This can lead to potentially lower costs and longer operational life than PEMFCs.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Molecular Cell Biology, Joseph Gottlieb Kölreuter Institute for Plant Sciences, Karlsruhe Institute of Technology, Fritz-Haber-Weg 4, 76131 Karlsruhe, Germany.
Rice plants are important food crops that are sensitive to cold stress. Microtubules (MTs) are highly associated with plant response to cold stress. The exogenous application of abscisic acid (ABA) can transiently induce the cold stability of microtubules.
View Article and Find Full Text PDFSci Rep
January 2025
Computer Science Department, Al Al-Bayt University, Mafraq, 25113, Jordan.
Electrochemical energy conversion technologies include proton exchange membrane fuel cells (PEMFCs) where proton interchange is an alternative to diesel distributed generation, and PEMFCs are considered as a promising backup power source and a tool to regulate power consumption. Some of the major benefits of these PEMFCs especially in power system applications include low emission of carbon, fast load following capability, no noise and high start-up reliability. It is challenging to find the best PEMFC parameters because the model is complex and the problem is nonlinear; not all optimization algorithms can solve this problem.
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